{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.1.2'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "pd.__version__  # for the record"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252, 9)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>UpperB</th>\n",
       "      <th>LowerB</th>\n",
       "      <th>PercentB</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-07-01</th>\n",
       "      <td>132.089996</td>\n",
       "      <td>134.100006</td>\n",
       "      <td>131.779999</td>\n",
       "      <td>133.919998</td>\n",
       "      <td>117.161659</td>\n",
       "      <td>202385700</td>\n",
       "      <td>132.373927</td>\n",
       "      <td>125.316073</td>\n",
       "      <td>1.219057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-05</th>\n",
       "      <td>133.779999</td>\n",
       "      <td>134.080002</td>\n",
       "      <td>133.389999</td>\n",
       "      <td>133.809998</td>\n",
       "      <td>117.065437</td>\n",
       "      <td>165936000</td>\n",
       "      <td>133.254297</td>\n",
       "      <td>124.912703</td>\n",
       "      <td>1.066618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-06</th>\n",
       "      <td>133.490005</td>\n",
       "      <td>134.139999</td>\n",
       "      <td>133.110001</td>\n",
       "      <td>133.970001</td>\n",
       "      <td>117.205429</td>\n",
       "      <td>143331600</td>\n",
       "      <td>134.040915</td>\n",
       "      <td>124.627085</td>\n",
       "      <td>0.992467</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2011-07-01  132.089996  134.100006  131.779999  133.919998  117.161659   \n",
       "2011-07-05  133.779999  134.080002  133.389999  133.809998  117.065437   \n",
       "2011-07-06  133.490005  134.139999  133.110001  133.970001  117.205429   \n",
       "\n",
       "               Volume      UpperB      LowerB  PercentB  \n",
       "Date                                                     \n",
       "2011-07-01  202385700  132.373927  125.316073  1.219057  \n",
       "2011-07-05  165936000  133.254297  124.912703  1.066618  \n",
       "2011-07-06  143331600  134.040915  124.627085  0.992467  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>UpperB</th>\n",
       "      <th>LowerB</th>\n",
       "      <th>PercentB</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-06-27</th>\n",
       "      <td>132.419998</td>\n",
       "      <td>133.429993</td>\n",
       "      <td>131.970001</td>\n",
       "      <td>133.169998</td>\n",
       "      <td>118.980804</td>\n",
       "      <td>108088000</td>\n",
       "      <td>136.447962</td>\n",
       "      <td>128.140042</td>\n",
       "      <td>0.605441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-28</th>\n",
       "      <td>132.289993</td>\n",
       "      <td>132.990005</td>\n",
       "      <td>131.279999</td>\n",
       "      <td>132.789993</td>\n",
       "      <td>118.641281</td>\n",
       "      <td>169242100</td>\n",
       "      <td>136.500761</td>\n",
       "      <td>128.219241</td>\n",
       "      <td>0.551922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-29</th>\n",
       "      <td>135.199997</td>\n",
       "      <td>136.270004</td>\n",
       "      <td>134.850006</td>\n",
       "      <td>136.100006</td>\n",
       "      <td>121.598610</td>\n",
       "      <td>212250900</td>\n",
       "      <td>136.721010</td>\n",
       "      <td>128.792993</td>\n",
       "      <td>0.921670</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2012-06-27  132.419998  133.429993  131.970001  133.169998  118.980804   \n",
       "2012-06-28  132.289993  132.990005  131.279999  132.789993  118.641281   \n",
       "2012-06-29  135.199997  136.270004  134.850006  136.100006  121.598610   \n",
       "\n",
       "               Volume      UpperB      LowerB  PercentB  \n",
       "Date                                                     \n",
       "2012-06-27  108088000  136.447962  128.140042  0.605441  \n",
       "2012-06-28  169242100  136.500761  128.219241  0.551922  \n",
       "2012-06-29  212250900  136.721010  128.792993  0.921670  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idf = pd.read_csv('../../data/SPY_20110701_20120630_Bollinger.csv',index_col=0,parse_dates=True)\n",
    "#df = df.loc['2012-01-01':,:]\n",
    "idf.shape\n",
    "idf.head(3)\n",
    "idf.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mplfinance as mpf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0DBO7CD6B9eRaINdRXYUFACALkjoeAHBHbD1ERYU57esv9WQ/5rKOsarbiiurntx9bWW5et+aOJ7a4g3nk06nQ2TTW/k5H+1WlJ9To9EgNDQUOp0OhbqieqojtyC6ngyhoaGOuguSSiCVSiD5O3qrqbrM/fv9Gzdwfr+Kfq9dRZ9lnU6HgoICx74hISFONxNinxNVVZvnkl4fXKn9fTpoPHv2LIYNG4bo6GgsWbLE8XxwcDDq168Pq9WKlJQUSCQSfPXVV5g5cyauXbuG8ePHl/ue6ZlaqFSFnih+mSSSohMkPVMLQRCtGF6P9eQa6wjIy7sBALBYbY4HAFzIuoGbJhn0eh1u3tDiPzs+wLMvDEbdemE+38VpP2b7MdbENqD880mv1yEnOwsA8PupdMQ0KChVh0ajAWvfWYlR4yZUqnvUVZmqczy1xZs+d3l5mjLzc/6ZngOFQosObW4FlC1btoRcLsexE+cc+TutNgECBNhsRQdSU3VZUGDG7NmzcfWGGTdN2mLlvVHu77Wr6LN8X+umsFhuXb9lsmD8evK843wU65yoKk+cSwaDvlL7e3+tlePYsWMYN24c7rzzTqxevdpp0sx9992Hw4cPO+3ftm1b5OTkYO3atRg5ciTkcnmZ7ysIEP2D7k3l8HasJ9cCuY7KO25BKGqVaB9/6yLzxhtvQCYLxvG08z4dONqPuay/e1W3ldzPvl2vd67DR7sllFmHBoMRK5ctwktDRiIkxP2gMSSkKC1RSIiyzDKVV2a9XofreUVdstfz8iCXKzz+N/WGz53995fMzykIQEFBUcL3g4cOIzw8HNevX8dDXR9EQcGthO82qw0Qbq3IU1PHFBKiQkpKCs5nOAdDjv8LxR5w73wsKDDBYilEREQUpFIpbDYb8vJyUVBggkoV6hXnRFXV5rlU2ff1yaDxxIkTGDlyJLp06YKlS5eWGwCWdPfdd+Ozzz6DVqtFdHR0LZeSiLyZyfT3RSYyCsGyIBRarMjT5Iq6WoyvcdRhiQt18Tosuea1QuH+xboqaYlKBrI9E8sOZAOdfQb6Q10fdDxXfAa6r67II5VKSw1B4zlRc7wu5Y4rGo0Go0ePRpcuXbBixYoyA8YdO3Zg3rx5pZ4/ceIE6tati8hI38hBRkS1z36RKWusM1OVuKe8OrRfrHsmJgAouli3j28KvV5Xa2UpHshGRUUjIiIKFkuh05KJ5DpF0/G08zj48wmMGJOEgz+f8OkAi+dEzfG6lkatVovCwqK7AavVCpPJhGvXrgEA6tSpgxUrVsBsNuPVV19F3t9NzXbBwcEICwtDREQEtmzZgsLCQgwYMAAymQxffPEFvvzyS0yaNKncdD5ERMUxVUn1uNMSWR0VrapT3o0A3eIqRZNaHYppM+aKVbwax3Oi+rwuaExKSsLRo0cdP2dnZ+Obb74BACxYsACHDx9Gfn4+evXqVeq1CQkJ2Lx5Mx555BG89dZbWL9+PV566SUUFBSgSZMmSElJQb9+/Tx2LEREVHsXa659TORZXhc0bt68ucLtffv2det9evTogR49etREkYiIiMgLcOlIcXld0EhERERUnKu11ckz2LlPREREXs3f1k/3VQwaiYjKUDJVTG3O+K0MzuimmlTRZCJvo1aHIrZhIyQlT0Vsw0YMGEXAoJGIqAQxUsW4yz6j22g0il0Ut9lsNseDvIt9MpGvZAfwtfL6G45pJCKiWqFQKHw2STT5JvuNCW9QageDRiLye5WdcWlPbpyTnYWeiQnYd+AoYhrEsjuskliP5CkV3aAwiXfNYfc0Efmt4jMuYxvEIL51K7dnXFaU+Ngf1dbYNm+tR44N9S/2G5TiE2V8eRUbb8WgkYh8XnkBAGdcus/fxoq5Gkfpi2NDqWLeeoNSEV+7eWHQSEQ+Ta/XISszA6uWLUJWZkapySr+NOPSW2d0e5Pi3ZS5uVeRl5fLcZTktXzt5oVjGonIZ+n1OnRs2wxmsxlA0SxnuVxeqjXRH5abc/dYK+JL6VWqiuMofV+gTGYpeROoUCi8/jxl0EhEPstkMsFsNiPt5ClERkZCo9EgvnUrmEwmr//yrayaOFZ/CJ7dUVE3pV6vg8lk8rmLdSAIpNn2NXETKAYGjUTk8yIjIxEVFSV2MciLlNWqas+/abEUOp7rmZgAmSyYkya8QCC1EvvqDS+DRiIiH8C1dyunrFZVk8kEi6UQERFRkEqLhvTbbDbk5eV6/cU6UPjiZJbq8LUbXgaNREQ+wD4TPBBaYWqbVCp1BI1E5D5+aoiIfESgtcIQkXdh0EhEREReIxBm+fsqdk8TEfkRXnCppMouoym2QJnl74vY0khEHuNrqx+IpTr15G8ru1DVVWcZTaKyMGgkIo/xtdUPxMJ6oprAZTSppjFoJCIi8lOcPEU1iUEjEREREbnEoJGIiIiIXGLQSERE1WKz2RwPIn/ESXxFGDQSkc/TaDTIzc31mZQi/kKhUEAmC0ZeXi5yc68iLy8XMlkwZ+eSaGor5RQnpxVh0EhEXqOyd/M1kVKErWRVp1aH4njaeafZucfTznOyBYmmopRTVf2s6/U6aK/nAQC01/Og1+tqpKy+iEEjEXmNyt7NVyeliKOVTJOLnJwc5GnYSlYV7szOZcJxEpM7LeLl3bDq9Tq0j2+KnokJAICeiQloH980YANHBo1E5NOqmlLE3kq2//uigHP/92wlqy1MOE5icqdFvLwbVpPJBIulEBERUYiKikZERBQslkKYTKZirw2c8Y4MGokoYDGHHVFgqO5nXSqVOh4lBdJ4RwaNRERULex+JgoMMrELQEQkJqVSidmzZ/tMwOONAZq9+5mI/BtbGonI51UnkFIqVUhJSfGZ8XYcH1j7AmmMGlFlMGgkIp/HQIpqUiCNUSOqDAaNROQ2vV6HzIwrWPj6LGRmXKlU2gnmOiMib8TvJvdxTCMRuUWv16Fj22Ywm80AgPXvroJcLi+VF9FoNGDt6pUYNXaCo+Wv5Gt7JiaU+VoisZUMIBQKBc9RP2bPw2ixFAIo+m6SyYKZfqscbGkkIreYTCaYzWaknTyFrOwcpJ08BbPZ7JSvDCi7a8/d1xKJiYmcA487eRjpFrY0ElGlREZGIioqqsZfyxYeElvxAEIqlcJmsyEvLxcmk4nnoh+oaMJceTkYyRmDRiISHbuIyJswgPBPTA1VffxUEJHo2EVERL7I1SQaf0vfxKCRiLxGRUt1ERGJxWazOR527oyBdZW+SaPRIDc3FxqNpnYPoIawe5qIqBzeuPoKVV/xC3/x/xOVpFAoIJMFIy8v1/GcTBYMhUJRrTGwCoUCcrkc8a1bOZ6Ty+VQKBS1diw1gbfzRAHK37pNagOThvuX4gFAbu5V5OZeRV5eriMIICpJrQ7F8bTz2HfgKABg34GjpcZal9dDUlHXtVodil9Szzm9ry+kIGPQSBSgamPVi9pMkhsoQa7RaHCqQ38/Xk+yBwBH/zhbYRBAVJxaHYqw8AgAQFh4hFvnijtd11V5X7ExaCSXAuViTdVT2znuAmVpt7WrVzrV4drVK0UukX9Rq0MRERFZ4cW6rPFrFNgqO1TFXyf3MWgMENUJ/ALlYk3uKW/gtr9+SXraqLETnFrBRo2dIHKJAkfJ7mt2XZNdVYeq+NvkPv84CnKJgR9VV/GB27ENYhDfulWZA7f97UvS05RKlVMrGMdTeo4749eIAhm/1YnILb46cJuoMnxxnBmRpzDlDhG5jRdUIvJH9vGrHMdaMQaNROT1uC41EdWGivIwUmkMGonIq+n1OnRs2wxmsxlA0YxiuVzOrnEiqjb7ONac7Cz0TEzAvgNHEdMgtlLfLYHUSsmgMQCwlYZ8mclkgtlsRtrJU4iMjIRGo0F861ZurbpARORKVYfduFotxh8xaPRzbKUhfxEZGYmoqCixi+ERXL6QyPtV1Erpr0EjZ0/7Ab1eh7w8DTIzrmDh67OQmXHFkVC5eCtNVnYO0k6egtls9tsTmvxXefkh/RGXLxQXg/bAU9W/eaBNDmRLo48r2ZIIAOvfXeVoTbQLpFYa8i/F80PalZUfkqim2IN2Chz8m7uHQaOPKzneC4DTmC87e+tMILTSkH+x54eszkB1IiKqPgaNfqK8lkS20pA/CLQuICLyHYE0nIFBo59jKw3VtED6giT/xfOYakogdW0zaAwAbKWhmlSbX5CBlO+MxBVIF3qimsKgkYhEx1UZiIi8H1PuEJHo7PnO9h04CgDYd+AojqedZ6s4EZEXYdBIRF6BwyiIqsZoNGDF0oUwGg1iF4X8HING4hcOEZEPMxqNWLVsEYxGo9hFIT/HoJEq/MIpuW61faUZ8m+8kSAiopIYNPoQT1/I9Xod2sc3Rc/EBABF61a3j2/KwNEPuLoZYMsFERGVxKDRh3j6Qm4ymWCxFCIiIgpRUdGIiIiCxVLIdat9nH3pyeI3Ax3bNuPNABERVYgpd/xE8eUBa3qpQKlUCqmU9xf+ouTSk8WXnRR78gkTLhMReS8GjT6urGUCAS4VSL6JCZeJiLwXg0YfZ18m0GQyQXs9z+NLBRqNBqxdvRKjxk6AUqmq9d9H1edqPfKS4x0VCoXoLZBERCQ+9jn6AbU6FBERkaLkuOOECd9jv9Eonkj7l9RzUKtDOd6RiIjKxaCRKACVl0i7+HjHrOwcpJ08BbPZzMlPRETE7ulAx65IKktkZCSioqLELgYRkV/ztcl/XtvSuGnTJsTHxyM5ObnUtmPHjmHw4MFISEhAp06dMHLkSJw+fdppn5s3b2LGjBno1KkT2rRpgz59+uC7777zVPG9TlknJrsiA5uvfVkReQMmvqfKsNlsjkdZ7JP/fGVOgNcFjVqtFmPGjMGGDRvKnP37+++/Y8iQIYiNjcXWrVuxdu1aGI1GDBkyBNeuXXPsl5SUhCNHjmD58uXYvXs3HnroIYwfPx7Hjx/35OF4jbJOzOp2RXK1GN9WW19Wrr4kiXyVXq9DVmYGVi1bhKzMDH7nUbkUCgVksmDk5eUiN/cq8vJyIZMF+3xWE68LGvfs2QODwYDdu3ejXr16pbZv2rQJsbGxWLBgAZo3b442bdpg3rx50Gq12Lt3LwDgl19+wc8//4yUlBTcf//9aNasGZKTk9GmTRu88847nj4kr2fvioyMjCxze1lBAFeLoZLc+ZLUaDTIzc2t8VyiRLWN33lUGWp1KI6nnXeacHg87bzPD//yujGN3bp1Q//+/REUFFTm9vnz58NoNDolm46JiQEAGAxF3QWHDx9GSEgIHnjgAafXdu3aFatXr4bZbIZcLq+lI/AfxYMAO3sQUHy1GKlUCpvNhry8XK9IEE3isH9J5mRnlZn6qaI0P0TeTuzvPKY38z3lTTj0ZV7X0hgXF1duwAgAKpWqVIvYt99+CwBo164dACA9PR2xsbGQyZxj4saNG8NiseDSpUs1W2g/5c6dkn21GK4Y41+q2iJY3pdkRWl+iHyJq+88o9GAlJSUGh/zWF56M6PR4DRMiGMtqTZ5XUtjZV25cgVz587Fgw8+iE6dOgEAdDod1Gp1qX1DQ4suUPn5+eW+n0RS9BCL/XeXVYbi26qyvbz9y3revi00NBRBjRphQvJUNGzUyHGH63itpNijEr+7uiqqJypSUGBASspyvDhoFEJC3GuZCAkpO/F3SIjC7bou7zwMDQ2FOaIooAyPiHB8Ht1V2fO7Ku9L5Qv0enL3O6+gwIg5c+bg6ecH1WiLYHnn/7rVK7Fy2SIARV3mE5KnYuIr09x6rVgC6VxSqZSYkDwVKpWy0sfriXqq7Hv7dNB49uxZDBs2DNHR0ViyZEmNvGeThmFlBpye1qRhWKnn6iosAIA7YushKqry28vbXxYkdTzKfn0YVixdWOZrg6QSSKUSSP7+BnX3d9eUsuqJiuTmWjBnzhz885//rMTfJAwajQYZGRlo2bIl/vzzTzRq1KhSAV5F52Flz9Gaeq07eC65J1Dryd3vvNy/92vcoGbP0/LO/wXzZmHc6KGOz2tcXBxUKudgtUG4HLNnz0arZrGltokpMM6l0tfPyqrNetLrgyu1v88GjceOHcO4ceNw5513YvXq1U6TZurUqYOMjIxSr7G3MNatW7fc903P1EKlKqz5ArtJIik6QdIztRAE5215eTcAABeybuCmqfSfztX28va3WG2Oh7uvt7/WahMgQIDNJlTqd1dXRfVERa5fL/obXcyu/N8k3yxz/Hv1hgVXb2jdfq3RaMaE5KnI0Zpx0+T8usqeozX12orwXHJPoNeTu9951fncufP7yzr/i39es6+bgevmUq8fPHJSuds8LdDPJXd5op4MBn2l9vfJoPHEiRMYOXIkunTpgqVLl5aa1NK0aVN89913KCwsRHDwrSj6woULCA4Oxu23317uewsCvOIkLqsc9p/LK6Or7eXt787vLve1QrFHJX53TfGWv5c3quz5UFOvDQlRYcLkaU7vI3aZ3H1/nkuuBWo9ufudV1vnaUXvW9ufjdria+UVS23WU2Xf1+dmL2g0GowePRpdunTBihUrypwFnZiYCJPJhB9//NHp+W+++QZdu3Z1CiSJyDcwGTkFKubEJW/hdS2NWq0WhYVF3cNWqxUmk8mRtLtOnTpYsWIFzGYzXn31VeTl5Tm9Njg4GGFhYbjnnnvQvXt3zJkzBwsWLEDDhg2xZcsWnDt3DvPnz/f4MRF5WsmLjFzu+8tD2pORE4nJnq/WU8nr7St3mc1F3co9ExMgl8uZfYBE4XVBY1JSEo4ePer4OTs7G9988w0AYMGCBTh8+DDy8/PRq1evUq9NSEjA5s2bAQBLlizB4sWLMWnSJOh0Otx9993YsGEDWrdu7ZkDIapler3OafUe+7rhJS8yj3bjRYaouirKW1ubiq/cFRkZCY1Gg/jWrZgTl0RR7aDxiy++wGeffYbTp0/j+vXr+P333wEA8+bNw7hx4xDxd4oNd9mDvvL07dvXrfdRq9WYM2cO5syZU6nfH4jsufi4SofvKBkYAnAEhsUvMjHR9ZFz9RovMkTV5Cp5vZg4dIM8pcpBo9lsxj//+U8cOnQIACAIAiR/J/wxGAzYsmULfvzxR2zbtg1hYWE1UliqWQpF2Tn5fGGVjqIEusvxwkvu5yD0JxW1PtjZl4e0z4onouoRY4UPd76nOXSDPKXKE2HWrl2LgwcPQhAENG3a1Gn1FZ1Oh6CgIKSnp2P9+vU1UlCqeb68SofRWJRAt+TqCIHG1brhROQ5tTFhxZe/p8n/VDlo/OyzzyCRSLBo0SJ8/vnnTsl/o6Oj8d5770EQBOzfv79GChro3PkyqkoXhT+ujUlE5Gl6vQ7t45vi0W4JAIrGErePb1pjgSO/p8kbVLl7OjMzEwqFAs8++2yZ2++//34olUrk5ORUuXBUxN3Zc+yiICISh8lkgsVSiIjIKATLglBosSJPk8uxxORXqtzSqFKpYDKZyp088eeff8JoNPrE+DhvV3z8WlZ2DtJOnoLZbHYav0ZEROKTSqWOB5G/qXJLY7t27XDw4EGMGjUKL7/8MiyWonUxv//+e5w5cwabN2+GRCJBmzZtaqywgc4+fo2IiLyTzWaDzSbxWB5HIk+qctA4YsQIHDp0CKdOncLUqVMdz48ZMwZA0WxqqVSK4cOHV7+UROQXmBqE/JUjj6Om/DyORqMBa1evxKixE6BUBl7WB/J9VW4/79ixIxYsWAClUglBEEo9lEol/v3vf6NTp041WV4i8oDaCu7s4255wSR/Y8/juP/7olnO+78/iuNp553GMxqNRqxatijgsz6Q76pWcu9nn30W3bt3x/79+/HXX39Br9cjNDQULVq0wMMPP4x69erVVDmJyIM4qYqo8jjLmfxdtVeEqVu3Lp577rmaKAsRERERealqBY1GoxFr1qyBXC7HuHHjHM+PGDECTZo0QVJSEurWrVvtQhJR5Wk0GsiCpFwekoiIakSVg0a9Xo9Bgwbh9OnTeP7555225ebm4ocffsDPP/+Mjz76CCoVxy8ReYovLw9JRETeq8oTYTZu3IhTp045Jr0UFxMTA0EQcPbsWaxbt67ahSQi99mXHSs+IJ/LjhH5NmYeIG9Q5aDxq6++gkQiwcyZMzF9+nSnbWvWrMGsWbMgCAK+/PLLaheSiCpHrQ5FbMNGmD17NmIbNmLASOTjmHmAvEGVg8YrV65AoVBg4MCBZW4fMGAA5HI5MjMzq1w48gzewfonpVKFlJQUXmSIiKhGVDlolMvlMJlMyMjIKHN7eno6zGYzx1H5AN7BEhG5hzfZFMiqPBGmTZs2OHz4MIYNG4YRI0agdevWCA0NxY0bN5CamooNGzZAIpGgdevWNVleCnB6vQ4mkwk3tHkAAO31PMjlCna/EpFHMIcpBbIqB41Dhw7FDz/8gEuXLmHWrFmltguCAIlEgpdffrlaBSSy0+t1aB/fFBZLoeO5R7slQCYLLrXyAhGRGJRKJWbPns2WSPJLVe6e7tKlC1577TXIZLIylxEMCgrCq6++isTExBosLgUyk8kEi6UQERFRiKofjZiYGERERsFiKYTJZHLsZzQasGLpQhiNBhFLS0SBiGOJyZ9VK7n3wIED0b17d3z22Wc4efIkdDodVCoVWrZsiaeeegp33HFHDRWTADiSNAd6smapVPr3QwKpVCi13b6+66AhI/nFTUREVEOqvYxgw4YNMXr06JooC5WDyZqJiIhIbG4HjZmZmQgKCkJMTIzjZ3c1bNiw8iUjB3uy5pzsLPRMTMC+A0cR0yCWY/iIiIjIY9wOGh9++GFERETgxx9/dPwskUhcvk4ikeDUqVNVLyEBKAocw8IjAABh4REMGImIiMijKjURRhCEUj+78yD3GY0GpKSkcBIHEREReRW3Wxp79+6N0NBQp5/daWmkyjEajZgzZw6eem4QQkI4iYOIyB/o9Tpor9/KL6tQML8s+R63g8aFCxdW+DMRERGVVjLHbM9E5pcl31SlPI2FhYUYPHgwhgwZAqvVWtNlIiIi8htOOWajohERUTq/LJEvqFLKneDgYJw5cwYmkwlBQUE1XSYiIiK/Y88xS+Srqnz2PvbYYygoKMD+/ftrsjxE1VJy3JBerxO5RERERP6hysm9n376aVy/fh2TJ09G9+7dcc899yA8PLzMu6jevXtXp4wBo2TAI5dzoHRlcNwQERFR7aly0Dho0CAARWl39u/fX26Lo0QiYdDoBr1eh45tm8FsNgMAHu2WALlcjl9SzzHgcVPxcUNSqRQ2mw15ebkwmUx+W4dcWpKIiDylyt3TxXMwMk9j9ZlMJpjNZqSdPIVr164h7eQpmM1mDpSugltrU/vv2KHiS0vGNohBfOtWXFqSyIcZjQasWLqQOXrJq1W5pXHBggU1WQ76W2RkJKKiomCx2sQuitey2WyABJBAUvT/SjAaDVi7eiVGjZ0ApdJ382Dal5YsflPBvG9EvstoNGLVskUYNGSkT383kX+rUtD4yy+/ID09Hfn5+WjUqBGefPJJxMbG1nTZiJwoFArIZMHIy8t1el4mC4ZCoXCrVdafvpjV6lAGiURE5DGVDhpnzpyJnTt3Oj23YsUKzJo1Cy+88EKNFYyoJLU6FMfTzsNkMuGGNg+PdkvA/u+PIjomFmp1KLvyiYiIalGlBn3t2bMHO3bsKDVmsbCwECkpKUhNTa2tchIBKAocIyIiERYeAQAIC49gaxsREZEHVKqlcceOHQCAhg0bYvTo0YiNjcWZM2ewfv163Lx5E9u2bUPbtm1rpaBEREREJJ5KBY1//vknJBIJVq5cifj4eADAQw89hGbNmmHcuHFIS0urlUISERERkbgq1T198+ZNhISEOAJGu86dOwMArl+/XnMlIyIATMVBRETeoVJBoyAICAkJKfW8/bnKpj8hoorp9TpkZWZg1bJFyMrM4LKIREQkmirnaSSi2sVlEYmIyJtUOmi0WCw4duxYmSu9lLetY8eOVS9hgNFoNJAFSbksXC0ouba3tyfDDsRlEYmIyHtVOmjU6XSOdaeLk0gkZW6TSCQ4depU1UsYIIovC2fHZeFqji+32vn7kohEROQbKh00ci3p2mFfFu5qTlappNVUfWy1IyIiqp5KBY19+vSprXIQigJHJq2uXWy1IyIiqppKBY0LFiyorXIQVYpSqcTs2bOhVCrFLgoREVFAYJML+SSlUoWUlBQolSqxi0JERBQQGDT6EKVSiaTkqWxdIyIiIo9j0OhDlEoVJk6e5lWtazabzfGgquGKL0RE5AsYNFKVKBQKyGTByMvLRW7uVeTl5UImC2aKoCowGo1YtWwRjEaj2EUholrEm2zydVwRhqpErQ7F8bTzyMnOQs/EBOw7cBQxDZgiqLJ8LeE4EVVe8ZtsO95kky9i0EhVxhRB1aPX69CxbTOYzWYARQnH5XI5fkk9x7ok8iP2m2yTyeR4jjeI5IvYPU3VUluTcwJhnJ/JZILZbEbayVPIys5B2slTMJvNThcWIvIPanUoIiIiHY/iAaPRaHDqcfDn7z3ybQwaqVpqa3JOII3zi4yMRFRUFCIjI8UuChGJYO3qleiZmACgqMdh7eqVIpeIqGwMGsnrlBznp9frRC4REVHtGTV2AvYdOAoA2HfgKEaNnSByiYjKxjGNXibQVzrhOD8iCjRKpcppfLg3pVUjKo4tjV4m0Fc64Tg/IgpEXLyBfAFbGskr2cf51TR7fjTmSSMib2IfH07kzRg0UkBgnjQiIqLqYfc0BQR7nrTig82Pp53nOEkiIiI3MWikgMFk5ERERFXHoJGIiIiIXGLQSEREREQucSIMkZfjjG8iIvIGDBqJvBRnfBMRkTdh9zSRl+KMbyIi8iYMGom8GGd8ExGRt2DQSEREREQuMWgkKsZoNGDF0oUwGg1iF4WIiMirMGgkKsZoNGLVskUwGo1iF4WIiMireG3QuGnTJsTHxyM5ObnM7T/++CO6dOmCLl26lNq2a9cutGjRoszHl19+WdtFJyIiIvI7XpdyR6vVYtq0aTh58mSZqUWsVitWrVqFjRs3IioqCgUFBeW+1+HDh0s9V69evRotLxEREVEg8LqWxj179sBgMGD37t1lBnjnzp3Df//7X2zZsgUdO3as8L3q169f6iGXy2ur6OQlbDab40FEREQ1w+taGrt164b+/fsjKCiozO0xMTHYtWsXwsLCPFsw8npMhk1ERFR7vC5ojIuLq3A7u5epPPZk2DnZWeiZmIB9B44ipkEscxsSERHVAK8LGmvSsmXL8M033+DatWuIi4vDyJEj0atXrwpfI5EUPcRi/91ilkFM5R13yb9LefUUGhoKc0RRMuzwiAiEhjoHjMVfV9bvcrW9Jrl7rCqVEhOSp0KlUlaqTIF+LrmL9eQe1pN7WE+usY7c44l6qux7+2XQGBISgujoaMhkMixevBhGoxE7d+7EhAkTsGjRIvTu3bvc1zZpGAa1Wu25wlZQjkBUV2EBAMiCpI4HANwRWw9RUWGl9i+rnhqEyzF79my0ahYLlUpV5vuX936uttck9481DCuWLqzy7wnUc6myWE/uYT25h/XkGuvIPbVZT3p9cKX298ug8YknnsATTzzh9Fz79u1x8eJFrFq1qsKgMT1TC5WqsJZLWD6JpOgESc/UQhBEK4Zo8vJuAAAsVpvjAQAXsm7gpunW6eqqngaPnITs62bgurnM9y/5fu5ur0nuHmtVBfq55C7Wk3tYT+5hPbnGOnKPJ+rJYNBXan+/DBrL07JlS6Smpla4jyDAK05ibymHp5V3zOXVR2Xryb5vRe9Xlfetisoea3V+TyCeS5XFenIP68k9rCfXWEfuqc16quz7el3KnZqwdu1avP3226WeP3HiBJo0aSJCiYiIiIh8m9e1NGq1WhQWFnUPW61WmEwmXLt2DQBQp04dWK1WGAxF6wIXFBTAZrM5toeEhKBOnTpQKpVYunQpbDYbnnjiCVitVmzfvh2pqal48803xTkwCmhGowFrV6/EqLEToFSqXL+AiIjIy3hd0JiUlISjR486fs7OzsY333wDAFiwYAEyMjLw1ltvOb3mwQcfBAD06dMHCxcuxKBBg6BUKrF161Zs3LgRVqsVLVq0wMqVK13OnibvoNFonP71dfY1rQcNGcmgkYiIfJLXBY2bN292uU9SUpLLfZ5//nk8//zzNVEk8iCFQgG5XI741q0cz8nlciboJiIiEplfjmkk36VWh+KX1HPYd6CotXnfgaP4JfUcE3QTERGJjEEjeR21OhRh4UUJusPCIzwWMOr1Omiv5wEAtNfzoNfrvPp9iYiIPMnruqeJxKDX69A+vikslqJJWD0TEyCTBeN42vlqBa16vQ4d2zaD2Wx2vK9cLscvqecc+/jb+E0iIvJPDBqJAJhMJlgshYiIiIJUKoXNZkNeXi5MJlO1gkaTyQSz2Yy0k6cQGRkJjUaD+NatYDKZOH6TiIh8CoNGomKkUimk0poftREZGYmoqCin5+zjN3Oys9AzMQH7DhxFTINYjt8kIiKvxDGNRCISa/wmERFRZTFopFpjNBqwYulCGI0GsYtCRERE1cSgkWqNPaG10WgsZzuDSiIiIl/BoJFE4yqoJCIiIu/BoJGIiIiIXGLQSOQmdqcTEVEgY9BIAUWpVCIpeSqUSmWlX8vudCIiCmTM00gBRalUYeLkaWIXg4iIyOewpZGIiIiIXGLQSEREREQuMWgkIiIiIpcYNJIo9HodtNfzAADa63nQ63Uil4iIiIgqwokw5HF6vQ4d2zaD2WwGAPRMTIBcLscvqee49jIREZGXYksjeZzJZILZbEbayVPIys5B2slTMJvNMJlMYhdNFNVJA0REROQpbGkk0URGRiIqKkrsYoiOaYCIiMgXsKWRiIiIiFxi0Ei1ghNdiIiI/Au7p6nG6fU6tI9vCoulEEDRRBeZLBjH0857/UQXm83m9C8REREVYdBINc5kMsFiKURERBSkUilsNhvy8nJhMpm8NmhUKBSQyYKRl5freE4mC4ZCoRCxVERERN6D3dNUa6RSqePh7dTqUBxPO499B44CAPYdOOoTLaNERESewpZGor+p1aGIbdgISclTEduwEZRKldhFIiIi8hoMGskriZW7kOlviIiIysagkWpNdSaVMHgjIiLyLgwaqcZxUgkREZH/8f4ZCuRzOKmEiIjI/zBopFqhVociLDwCABAWHsGAkYiIyMexe5rIAzQajdO/REREvoZBI1EtUigUkMvliG/dyvGcXC7n+E4iIvI57J4mcoOrtbSNRgNWLF0Io9Hg9LxaHYpfUs85je/8JfUcu+uJiMjnMGgkcsG+lnbPxAQARWtpt49v6hQ4Go1GrFq2CEajsdTrOb6TiIj8AbuniVzwxbW0iYiIahpbGoncVN5a2q66romIiPwBWxqJqkGv16Fj22Ywm80Airqu5XI5xy0SEZHfYUsjUTWYTCaYzWaknTyFrOwcpJ08BbPZDJPJJHbRiIiIahRbGolqQGRkJKKiosQuBhERUa1h0EiiYcJrIiIi38GgkTyOCa+JiIh8D4NG8jh7wusbWi0+2LQWg4eMQr2wME4cISIi8mIMGkkUanUo1OpQTJsxV+yiEBERkRs4e5qIiIiIXGLQSEREREQuMWgkIiIiIpcYNBIRERGRSwwaiYiIiMglBo1ERERE5BKDRiIPUCqVSEqeCqVSKXZRiIiIqoR5Gok8QKlUYeLkaWIXg4iIqMrY0khERERELjFoJCIiIiKXGDRSreE4PiIiIv/BMY1UaziOj4iIyH+wpZGIiIiIXGLQSEREREQuMWgkIiIiIpcYNBIRERGRSwwaiYiIiMglBo1ERERE5BKDRiIiIiJyiUEjEREREbnEoJGIiIiIXGLQSEREREQuMWgkIiIiIpcYNBIRERGRSwwaiYiIiMglBo1ERERE5JLXBo2bNm1CfHw8kpOTy9z+448/okuXLujSpUuZ27OzszFp0iR07NgRbdu2xYABA/Dbb7/VZpGJiIiI/JbXBY1arRZjxozBhg0boFAoSm23Wq1Yvnw5xo4di5CQkDLfw2w2Y+jQobh8+TI2bNiAHTt2oEmTJhg2bBguX75c24dARERE5He8Lmjcs2cPDAYDdu/ejXr16pXafu7cOfz3v//Fli1b0LFjxzLfY+/evTh//jzeeOMNtG3bFi1atMCcOXNQt25drFu3rrYPgYiIiMjvyMQuQEndunVD//79ERQUVOb2mJgY7Nq1C2FhYeW+x6FDh9C4cWM0bdrU8ZxMJkPnzp1x8ODBmi4yERERkd/zupbGuLi4cgNGAKhXr16FASMApKenIy4urtTzjRs3RlZWFoxGY3WLSURERBRQvK6lsSbo9XrcdtttpZ4PDQ0FAOTn50OpVJb5Womk6CEW++8Wswy+wJP15PgdkmIPF79b7PPIXobi/1LZWE/uYT25h/XkGuvIPZ6op8q+t18GjdXRpGEY1Gq12MVAk4ZhYhfBJ3iinuoqLAAACQTHAwDuiL015lYWJHU87Nuiomq/bO7gueQe1pN7WE/uYT25xjpyT23Wk14fXKn9/TJorFOnDvR6fann8/PzIZFIULdu3XJfm56phUpVWJvFq5BEUnSCpGdqIQiiFcPrebKe9PoCyGTBuHbtmuM5mSwYWXkFMJlMAACL1eZ4AMCFrBu4aRL348VzyT2sJ/ewntzDenKNdeQeT9STwVA6VqqIXwaNTZs2xa+//lrq+QsXLqBRo0blpuoBAEGAV5zE3lIOb+eJelKpQnE87TxysrPQMzEB+w4cRUyDWKhUoSgoMIlWLnd5U1m8GevJPawn97CeXGMduac266my7+t1E2FqQmJiIi5fvoyzZ886njObzTh06BC6d+8uYsnIV6nVoYht2AhJyVMR27AR1OpQsYtERETkUV7X0qjValFYWNQ9bLVaYTKZHN2CderUgdVqhcFgAAAUFBTAZrM5toeEhKBOnTro2bMn7r77bkyZMgUpKSkIDQ3F22+/jcLCQowYMUKcAyOfp1SqMHHyNLGLQUREJAqvCxqTkpJw9OhRx8/Z2dn45ptvAAALFixARkYG3nrrLafXPPjggwCAPn36YOHChZDJZFi/fj0WLFiA4cOHw2w2495778XmzZvRoEEDzx0MERERkZ/wuqBx8+bNLvdJSkpyuU9UVBSWLFlSE0UiIiIiCnh+OaaRiIiIiGoWg0YiIiIicolBIxERERG5xKCRiIiIiFxi0EhERERELjFoJCIiIiKXGDQSERERkUsMGomIiIjIJQaNREREROQSg0YiIiIicolBIxERERG5xKCRiIiIiFxi0EhERERELjFoJCIiIiKXGDQSERERkUsMGomIiIjIJQaNREREROQSg0YiIiIicolBIxERERG5JBO7AET+QKPROP1LRETkbxg0ElWDQqGAXC5HfOtWjufkcjkUCoWIpSIiIqp57J4mqga1OhS/pJ7DvgNHAQD7DhzFL6nnoFaHilwyIiKimsWgkaia1OpQhIVHAADCwiMYMBIRkV9i0EhERERELjFoJCIiIiKXGDQSERERkUsMGomIiIjIJQaNREREROQSg0YiIiIicolBIxERERG5xKCRiIiIiFxi0EhERERELjFoJCIiIiKXGDQSERERkUsMGomIiIjIJQaNREREROQSg0aiGqBUKpGUPBVKpVLsohAREdUKmdgFIPIHSqUKEydPE7sYREREtYYtjURERETkEoNGIiIiInKJQSMRERERucSgkYiIiIhcYtBIRERERC4xaCQiIiIilxg0EhEREZFLDBqJiIiIyCUGjURERETkEoNGIiIiInKJQSMRERERucSgkYiIiIhcYtBIRERERC4xaCQiIiIil2RiF8AbCILg+L/BYBCxJIBEAuj1wTAY9ChWLCqB9eQa68g9rCf3sJ7cw3pyjXXkHk/UU/GYR3DjlzBohHOlPXDvXSKWhIiIiMjzDAYDQkNDK9yH3dNERERE5JJEcKc90s/ZbDbk5uYCAFQqFSQSicglIiIiIqpdgiA4elujoqIglVbclsigkYiIiIhcYvc0EREREbnEoJGIiIiIXGLQSAGhsLBQ7CIQBRyOfnIP64l8BYNG8nt//PEHhgwZgqtXr4pdFPJxVqtV7CL4FPukQpvNJnJJfAPrqWx6vR6vvPIKsrOzxS5KwGOeRh917tw5/PDDD8jKykL79u3xwAMPuMyvFIiOHDmCUaNGwWw2IzU1FT169IAgCJwh/zez2Yzc3Fw0bNhQ7KJ4PZ1Oh6lTpyI5ORl33nmn2MXxWgaDAbt370ZGRgYiIyPx5JNPIiYmBjabzeXMzEBiNBqxdetWXLlyBaGhoejfvz8aNWrEeipBp9PhxRdfxPnz53Hfffdh4MCB/A4XEWdP+6Bjx45h/PjxaNSoEdLT0yEIAl5++WUkJSVBJuN9gN3Ro0cxdOhQTJ06FcePH0dISAgWLVokdrG8RkFBAQYMGIC77roLY8aMwR133CF2kbyWTqfD448/jo4dO2Lp0qViF8dr6XQ6PPfcc6hfvz6uXr0KvV6PmJgYrFu3DpGRkWIXz2vYA6HIyEhotVpcu3YNgiBgx44duP3228UuntfQ6XR48skn0bFjRwQHB+PmzZt4++23xS5WQOPtjI85e/YskpOTMXbsWGzcuBG//fYbOnXqhM8//5xdZ8XYA8YJEyZg8ODB6Ny5MzIyMlBYWMjxQ3/7448/cOrUKezduxfr16/HpUuXxC6SV9LpdHjqqadw3333MWCsgNlsxtixYxEfH481a9Zg7969mDBhArKzs/Hbb7859gv0z19hYSFeffVV3HXXXVi7di12796N+fPnQ61WY8mSJRx//Tf7565t27Z488038dhjj+Hy5cvIy8sL+HNITAwafcxPP/2Eu+++GwMHDkRISAgAOP5vs9lgNpthsVhELqW4jh07hsGDB2Py5MkYPXo0AKB58+b49ddfkZqaym6Nv50/fx5t2rTB5MmTsXPnTqxbt46BYwk6nQ69e/fGfffdhxUrVgBAwH++ynPq1ClotVqMGTMGarUaMpkMffr0Qb169QAUdVsbjUZIJJKAvuhnZ2fjypUreO6556BUKhEUFISHH34YnTp1wp9//slxjSj63PXq1Qvt2rXDqlWrAAAxMTE4f/48Tp48ye9wETFo9DFnzpzBlStXEBwcDLlcDgC4ceMGVCoVJk+ejBdffBHTp09HZmamyCUVh9FoxPbt2zFt2jQMHz4cQNHg8vj4eHTo0AEHDhwAwAkNQFGLx2233YYhQ4Zg8uTJ2LFjB9auXesUOAbyxb2wsBBPPfUUJBIJ/v3vfwMoak2TyWQQBAGHDx/GJ598gv3790On04lcWvFlZ2fj4sWLTp8t+43s+vXr8dRTT+Ef//gHfv31V0gkkoANjvLz85Geng6TyQTgVmaH+++/H3q9HlqtVsTSiU8QBCxduhRdunTB8uXLARR9X7ds2RLdunXDF198AavVyu9wkTBo9DEtW7ZEUFAQ8vPzIZFIcPbsWbzyyiuIjo5Gu3btcM899+DIkSOYOHEi8vLyxC6uxymVSkyfPh1DhgxxPCeVSiGXy9GqVSvs3bsXNpsNQUFBAR0QAUD9+vXRqVMnAMCoUaMwdepU7Ny50ylwDOQ7+uDgYCQmJiInJwe7d+9GXl4e5HI5rFYrhg4dinnz5mHevHmYMGECXn31VZw7d07sIouqXbt2UKlUeOedd/Dzzz8jPT0dAwYMQHh4OAYMGICXX34ZSqUSI0aMwLlz5wJ2ssftt9+OsLAwmM1mAEXnGVAUYOv1ejGL5hUkEgmGDx+OxYsXO54LCgoCALRq1QqHDx+GxWJBUFBQwN54iEogr2e1Wh3/v3TpkpCZmSkIgiDYbDbh4MGDwqpVq4TCwkLHPuvWrRPatm0rfPHFFx4vq1gMBoOg0+kEk8lUapvNZhMEQRAuXrwoJCYmCkuWLPF08byKvT4EQXDUl/259957T2jRooUwY8YM4cKFC479jhw54tlCepE5c+YIrVq1ErZs2SJotVohKSlJGDFihPD7778LZ86cEXbv3i20bdtWSElJEbuoHmW1WgWbzSZYLBbHc59++qnQuXNnISEhQejVq5fw5JNPChqNxrH9999/F3r06CEkJSUJJpPJ6Vz0VxaLRbh+/bqg1Wodn7erV686ttvrYNeuXULnzp2F3Nxcp9efPn1aMBgMniuwSMo7F2w2m2NbXl6e0L17d+Hf//63J4tGxXCqrRe7ePEiQkJCEBMTA6vViqCgIMTFxQGAI+VA165d0bVrVwBw7NOvXz+sWrUKubm5YhbfY1JTU/H222/jypUrEAQBI0eOxCOPPIK6desCuNVaVr9+fSQkJODQoUN49tln0axZMzGL7TF6vR67du3Ciy++CIVC4RhTJpFIHEMc7HU0dOhQCILguMufNGkStm7ditWrV+PQoUOoX7++aMfhCWazGWfOnHHM+m3SpAlmzZoFAJg/fz7+97//QaFQYPr06WjQoAEA4K677sLZs2fx0UcfYcSIEWjYsKHft9DqdDrMnj0beXl5yM7OxjPPPIOHH34YvXv3xqOPPoobN25g3bp1MBgMiIiIQGFhIYKDg3HPPfegcePGKCgocJx7/kyn02H69Om4cuUKMjIy8OSTT6Jfv3646667HPvYez60Wi1CQ0MRFhbm2PbGG29g9+7d+Pzzz6FUKkU4As/Q6/VYtGgRNBoNtFotXnzxRdx3332Ii4tzGgOrVqvRvXt3HDlyBKdOnUKrVq1ELnngCcz+AR+Qnp6Op59+GpMnT0Z2dnappviyLkr2Ltfc3FzcfvvtjgDTn/3+++8YMWIE4uLi0KNHDzRq1AgpKSk4cuQIgFvJcgVBgFKpxNixY5Geno6tW7c63kPw425qQRCQnJyM119/HStXrnSMn6ooqBk2bBimTJmC3bt3Y+DAgXj//ffx8ccf+33AqNPp8PLLL2PatGkYMmQIxowZg3Xr1gEAZs2ahZdeegkffvghrFYrwsPDnV5bp04dhIeHIyIiwu8DRr1ej969e+PGjRvo1KkT2rVrhy1btmDChAnYu3cv1Go1GjZsiCtXruD69esAirpg7ROIQkNDcdttt8Fqtfr1Z89gMKBfv36wWCzo27cvevXqhY8//hjvv/8+bt686djP3vVqs9lgsVgcY/VWrlyJbdu2YfXq1U6BpL/R6/V45plncOXKFcTGxqJOnTqYNWsWZs6ciZ9++glA0feV1WqFXC7H0KFDkZmZiW3btjnew5/PI68jUgsnlcPeDP/tt98KrVu3Frp37y6MGDHC0SVdvKva7sKFC8Iff/whCIIgZGZmCmPHjhUGDhzo1G3kj/Lz84WXXnpJWLx4seO5goICYfDgwcIzzzxTqqvaXncbN24U7r77bmHlypUeLa9YXnrpJeGFF14QWrduLcydO1cwm81uva5///5CQkKC8Oeff9ZyCcVnNBqFPn36CJMnTxb++OMP4ccffxT69esn9OzZU/jxxx8d+23evFnIyMhw/Gz/vM6cOVMYPXq0oNfrPV52T5s/f74waNAgp+e++uor4aWXXhJatWol7N69WxAEQdi+fbvQokULYenSpYIgFHXJLlu2TOjQoYNw9uxZj5fb0xYtWiS8/PLLTs8tXbpUuOeee4SLFy+W2n/r1q1Cly5dBIvFIqxatUpo06aNcOLECQ+VVhw2m0147bXXhGHDhjk9v3XrVuGJJ54QHn74YeHAgQOO5+3DsLZu3Sq0bt1aWLVqlUfLS4LAlkYvY2+l+OOPP5CQkIDnn38ep0+fxqxZs5CVlQWpVOrU4mgwGLB9+3YMGDAADz74IEaOHIns7Gxs3LgRQUFBfj3DTK/XIysrC/fccw+AortNhUKB7t27Iysrq9QsRPvA+169eiExMRGHDh3y+zvUa9euISsrC+PHj8ekSZOwbds2LFq0yGXamOXLl+P06dN4//330aJFCw+VVjxffvklgKIWxbZt26JTp0547bXXkJmZiTNnzjj2e+mll9CwYUNkZWVBo9Hg5MmTWLZsGfbs2YPk5GSoVCqxDsFjsrKycNtttwGAYzJHz549MXnyZHTu3Bn/+te/8O2336J3797o06cP1q5diw4dOmDo0KH49NNPsWnTpoAYGnLlyhU0atQIwK166tevH6xWK3799VfHfvbvoOjoaMjlcvzf//0f1q5di23btiE+Pt7zBfcgq9WKzMxMx3Ha62nAgAGYNGkS6tWrhzlz5jhaHO2LV/To0QM9evTAhg0bcOPGDb//HvcmHNPopcxmMxo0aIBx48bBZDLhk08+waxZszB37lzExsY6lppSqVR46qmncNdddyEzMxN33HEHHn/8cQQFBcFisfj1CjFBQUHQaDT466+/0LNnT8fYoPvuuw8GgwH5+fmoX79+qe7C2NhYTJ8+3TH2TPDjJakEQUBhYSEaNGiAe+65BwUFBY4VFaZNm1bm+fHDDz/g3XffxY4dO9CyZUtPF1kUWVlZ0Ov1jpyCFosFrVu3RsuWLZ2CRqBoJZ2PP/4Y69atQ2xsLFQqFbZt2xYQwTVQdGOblpYGAJDL5Y7vmXvvvRfjx49HQUEB5s+fj3Xr1mHGjBl47rnn8MMPP6Bx48bo0KGDI+D0d1qtFunp6QBuzZCuX78+FAqFI90OcKuhoEOHDrh27Rq+/PJLfPLJJ7j77rs9X2gPk8lkKCwsRGpqKgDn8+nRRx+FRCLBihUrsHr1ajRs2BCNGzcGUBRgT5gwAf/6178cn1nyDP+NKHxcz549HXdPycnJkEgk2Llzp1PgaB9cHh8fX+qO1Gq1+nXACAAqlQpdu3bFAw88AODW2KCbN29CIpGgTp065QaD9guXv6/zGh0djQ0bNqBZs2aQSCTo168fADgCx6lTpzouaHZdunTB999/j5iYGI+XVyx169bFxYsXkZOTg5iYGMdnR6lUIj8/32nfkJAQDB48GHFxcWjatCkaNWrk9+M9gVuT7x599FEsWLAAa9aswejRoyGTyRwX+nbt2uHll1/GnDlz8N///hcTJ05Ehw4d0KFDB7GL7zHF68n+3SKRSGCxWGA0GgEUjYEtKSwsDLNmzULHjh0DaknPBx98EB988AE+++wzPP30007nU48ePZCbm4uFCxfi2LFjaNy4sWNb06ZNxS56QPLfq6WPa9OmDVq3bu3oXp40aZJTV3VmZqZjcPmOHTuQlZXl9Hp7AOWvBEGASqXCkiVLSl2QzGZzmYHgmjVrcP78eafn/DlgtLvzzjsdwXNUVBT69++P8ePHY+vWrVi0aJFjcsyKFSvw5ptvAigKNgNJQkICVq5c6QiU7d33giA4Jr0U7wILDw9H37590a5du4AIGIFbLWJdu3ZF8+bN8dFHH+Gzzz4DAMeFHrjVdfjZZ5/59fCY8tjrqX///hg4cKDjeZlM5pjQUfJ7Z+3atThy5AheeOGFgAoYAeC5556DSqXCunXr8MsvvwBwPp/69euHhx56CB9//LFjG4nH/6+YPiooKAhyudxpXGLxwHHu3LnIysrCuHHj8NFHHwVUqxBw64u5eCuZ/aJusVhQp04dp5Qew4YNw969ex3dG4EsMjLSKXBcvnw5li1bhg0bNuCxxx4DEHhJvZs3b46ePXs6frYfv16vd6Q6sT83f/58vPbaa54vpBew2WyoV68eFi5cCEEQsGLFCuzZswdA0cXcPibtrrvuQr169QJ6rFlZwY3FYoFUKnVKn7Ny5UosW7YsILtZrVYrIiMj8dZbbyE7OxtLlizBsWPHADifT02aNAmIFE2+gEGjDygZOP7jH//A6dOn8cgjjyAjIwPbt2+HVCoN6C9o4NZF3WKxoLCw0PHFPGrUKGRmZmLnzp1+t4qA/W8uCILj4Q574Dh58mRs2LABW7ZsCYiB9+4q3lJfvFVo1apV+PDDD/H888+LUSzRSaVSWK1WNGjQAFu2bIHFYsGyZcscqYnsF/Zz584hIiIiIFsaK1JQUACTyYSQkBAARa3769evD6jxw8XZv4/vuusuvPPOOzh//jz+/e9/Y+/evQBunU/Xr19HZGQkCgsLA/46Jza28/qI4hNbkpKS8OGHH6Jt27bYsmWL0xgQKmp9LCwshNFoxOTJk3Hx4kXs2bPH0Z3vT/VkD5R//vlnx5KAmZmZaNiwocvXRkZGQqPRQKVS4eOPP/brGa32cWbFLzgVtaYW39++n/0C/+GHH6J169a1Xmax2RcLAJzH/tpvYhs1aoTt27djypQpeP/99/H111+jY8eOyM7OxjfffIPt27dDoVCIeQgeUV49lWSz2SCXy6FWq2GxWPDuu+9iw4YNAX+zZq+vDh06YPPmzRg3bhwWLVqEzz//HAkJCfjrr7+wd+9efPTRR6XGX5PnSQSG7aIp7wumotm8VqsVY8aMwaVLl/D5558HRMBY2Xq6fPky+vfvD5vNhtDQUHz++ed+GTDa5eTkoFu3bpg8eTLOnDmD6OhoTJ482eUX7PLly/Huu+9i165dAbOywk8//eRWcG0PBF5++WU0a9YMUVFRWL16NbZv3x5wF/hFixahe/fuSEhIcPos2utIq9Xi22+/xb59+2AwGNCgQQOMHDkSzZs3F7nknlVePZXUr18//Pnnn7Bardi2bRvatGnj4ZJ6njvf4fZ9cnNzsX37dvzwww8oLCxETEwMJk6cGDDZCbyd/11BfYQ9gLEvWyaXy9GoUSOEhoZWmAbmP//5D/R6Pfbs2RMQAWNV6ik8PByCIKBevXr47LPP/LqeBEFATEwMXnvtNSxYsAChoaFOq+GUd+EqKCiAQqHAjh07AiZgzMnJwdChQ90Kru0tR126dMHSpUshl8sDMmDUarXYuHEjjEYjEhISnM4ne9diWFgY+vbti759+wJwbnkLFBXVk53NZoNEIkGbNm2QlZWFdevWOS0n6K+Knw+HDx9Gfn4+FAoFHn74YafvbvvQh6ioKCQlJSEpKQkmk8lpuVMSH1saRWAPdHQ6HQYPHozc3FxcvXoViYmJ6NevHxITE532K84+MF8qlfptIGRXlXoqfrcaHh4eEPkqAWDevHn48MMPYbFYMGXKFAwbNgxAxYFjIF3c7efIli1bKhVc//TTT1i9ejVmz57t1933ZbHX2apVq/Dpp5/izTffxH333VfhvoGoMvUEFAWYBQUFjrXL/Vnx8yI5ORlnz56FRqNBkyZNMGPGjHJvWAP5fPJ2nAjjYVarFRKJBIWFhRg0aBBiY2Mxd+5cTJ8+HSdPnsSSJUvwn//8BwBKjcESBAFqtdox6cWfA6Gq1pN9xZyoqCjH2Ct/rKeSEwweffRR7Ny5E3369MHixYvx7rvvAkCpFYSKC5SAEbg1fvHChQuQSCS4ceMG3nvvPQAV11GnTp3w1ltvBUTAWPKcstdZt27dYDQacfToUQAos64C6QJfnXqyt8wGQsAI3KqbuXPn4s8//8S7776LzZs3Y/78+RX2cATS+eRr/O9q6sUEQUBQUBBMJhPS09ORkJCASZMmOWb5NmvWDG+++SbWr1+P8PBwPPTQQ04fnvL+72+qW08lu9D8TfEWwm+//RZXr15FbGws2rdvj7Fjx8Jms2H58uUQBAFjx451dPv4Y124UvK4H330UTz//PN4//33sXjxYpjNZowZM8YROBY/d+ytHXXr1hWj6B5nr6eLFy/i9ttvd3ym2rZtixdffBHr1q3Dk08+ibi4ODGLKbrq1FMg5IUtSafTIT09HaNHj3Ysq1icPaE++YbAO4NFZF8VYPLkyXjppZfw22+/wWazwWq1QhAEdOnSBa+88gry8vLw6aefulwf2F+xnspnD6gBYMKECViyZAnWrFmDNWvW4MSJE7j99tsxevRoPPvss1ixYgXeffddFBYWYvv27aWWw/N3JYPrDz/8EAUFBbjzzjsxduxYPPvss1i+fDlWr14N4NaYKjt/vjErz9tvv41evXph5syZ+O677xzPP/XUU4iOjsYXX3wBQRD8Km1VVbCe3Gc2m3Hy5ElkZGQ4nrP3DBkMBkybNg3btm0Tq3hUSWxp9DCZTIY2bdrg0qVLOH/+PLKysnDnnXeisLAQMpkMDz74IIYPH47Fixdj4sSJAbc6gB3rqWz2QGbx4sVIT0/H6tWr0aBBA2RnZ+P2228HADRt2hTjxo1ztDjag6UdO3aIWXSPKhlcnzt3DgaDAbGxsahbty7uvfdejB49GkBRKh2JRILhw4fjo48+QseOHQNmpmbJ1lX7Mm579uzB3r170bNnTzz//PPo0KEDHnzwQezcuRPDhw9HUFBQQI07Yz25p6zxwSqVCg888AC+/fZbdO3aFW3btnUag67T6XDp0iUxiktVIVCtslgsZT6/bds2ISEhQejRo4eQkZHhtO9XX30ldOvWTTh9+rTHyik21pP7CgoKhCFDhgjvvfee4zmbzeb4/5UrV4Tr168LmZmZwgcffCBMnjxZOHPmjBhFFd2iRYuEp556Srh48aJgMpmEixcvOm2/cOGC8OqrrwotWrQQunXrJtx///3CpUuXRCqtZxX/zF24cEFIS0sTDAaDIAhF59COHTuEbt26CY888ogwceJE4fjx40KXLl2E1atXi1VkUbCe3FO8njQajeP7WhAEYf/+/UKbNm2EpKQkITU11el1I0aMENasWSMIgvP3GHknzp6uRfZZuwUFBdi/f78jq/1jjz2GoKAg7NixAytXroRSqcQ777yD6OhoSCQSTJo0CQaDAVu3bg2IMTCsp8q5efMmBg0ahM6dO2Pq1KmO5202G4xGI1577TXcd999GDRokOP5QKofO5PJhDFjxuChhx7C0KFDATjPyszIyIBarYbRaMTXX3+N33//HaNHjw64NCjTp0/Hr7/+igsXLiA6OhqDBw9G7969ERUVBa1Wiy+++AK7du3ChQsXkJ+fj8TERKxYsSLgEneznspXvJ5SUlKQmpqKjIwMNGrUCOPHj8cjjzyCTz/9FLNmzUKbNm3w4osvolmzZti3bx8++eQTbN++nUu8+ggGjbXEfqHW6XTo378/AODGjRvIzc1Fp06dMHr0aCQkJOCjjz7C8uXLYTabcfvtt6N9+/Y4ceIEtmzZguDgYL+/4LOeymbPS3n8+HFYrVbceeedaNKkiaMLesKECUhNTcX69etx5513Or22f//+iI2NxdKlS8UoutdgcO1aUlISzp8/j+TkZAQHB2PXrl34+uuv8dxzz2HUqFG47bbbHIH2hx9+iKNHj2LcuHGlzjl/x3pyz6RJk3Du3DkMHz4cOp0Ohw8fxsGDBzFs2DC8+uqr2LNnD9577z2cOnUKcXFxkMvleOONNwImV6xfELGV0++ZTCahX79+wsSJE4W8vDwhKytLOHv2rNCiRQuhf//+Qm5uriAIgrBlyxbh8ccfFx566CHhjz/+cLy+sLBQrKJ7FOvJWX5+vjBkyBDhH//4h5CQkCD07NlTaNGihfDEE08IGzduFARBEDIzM4Xu3bsLffv2Fc6fP+/0+okTJwpvvfWWCCX3PJPJJKSmpgobN24U1q9fLxw4cMCpCzopKUno1q2b8L///a/Ua/v16yckJyd7sriis1qtjv9/9tlnQq9evYRz58457TN37lwhPj5eWLVqlWAwGJy6HU0mk8fKKibWU+V9+eWXwlNPPeVUT9nZ2UKLFi2cuupzcnKE06dPC2fOnBE0Go0YRaVqCKzbag+xz8A8duwYdDodxo4di/DwcDRo0ADXrl1DcHAwXnzxRURGRgIABg4ciP79+yMoKAgzZsxAdnY2AP+fvcl6Kk2n06F3796oU6cOZsyYge+//x5fffUVVq9ejdjYWCxcuBArV65EbGwsZs+ejevXr2PkyJHYsmULDhw4gGXLluGnn37CY489Jvah1DqdTofRo0fj9ddfx+rVq/Hxxx9j9OjRGDt2LDZt2gQA+Ne//gWpVIqpU6ciPT3d6fUxMTEBkX+xoKAA7733HjQajVNOyoyMDAiCgNjYWABAYWEhAGDmzJno1asXtm7divz8fMdkDgB+vTIH68l99uMUinVUXrx4Efn5+YiIiHD8/I9//AMvvPACxowZg8zMTFy/fh3R0dFo2bIl7rrrLse+5EPEjFj9hV6vF27cuCFcvXrV6fl9+/YJLVq0EH777TdBEIombrRr107YunWrIAiCcOjQIWHdunWO/bds2SL06NFDeOihh4SsrCyPld9TWE8VM5lMwvDhw4WkpCSnAeH2Vo+zZ88KM2fOFFq0aCFs27ZNEARB+Ouvv4SXXnpJaN++vfDQQw8Jffv2FU6dOiVK+T0pPz9feOSRRxwD641GoyAIgvDtt98Kw4cPF1q0aCGsWLFCEARBOHDggNC9e3fhkUceETZv3ix89913wtKlS4WEhATh7NmzYh6GR2zcuFHo1KmTsHDhQkfLjs1mE959912hS5cuwokTJxz72lvIMjIyhFatWgmffvqpGEUWBevJfVqtVhCEW708VqtV2LBhg9C+fXvh0qVLwpUrV4SuXbsKM2fOdLxmwIABwpw5c0QpL9UcptypprS0NKxbtw6nTp1CnTp1HIOjAaBOnTqQyWT466+/cPnyZcyaNQtTp05Fv379IAgCPvnkE6dWsoEDB8JkMuHTTz913M36C9aTa3/99RcMBgMmTJhQZrLyZs2aYciQIcjJycEHH3yATp06oXnz5ti8eTPOnDkDtVqN0NBQhIWFiXQEnmE2mzFp0iS0atXKkS4HKBqT2L17d9x+++14//338c4776B+/fro378/1qxZg7lz52L58uVQq9WIiorCpk2bAqKlcciQIdBoNDhw4AAEQcCoUaMQERGBbt26YdWqVXj//ffx6quvIiYmBnK5HIIgQK/Xo2HDhrjtttvELr7HsJ4qVlBQgE8++QQ//PADLly4AIVCgVatWmHIkCFo3rw5unXrhqVLl+L111/H6dOnkZiYiLlz58Jms+HGjRuQSCS4//77xT4MqiYGjdVw7NgxjB49Gt27d0evXr1gtVrRvn17x/YHHngAPXv2xNy5cyGRSDBlyhT069cPAGA0GpGVlYVevXoBuDX7bNiwYXjuuedQr149UY6pNrCe3PPHH3/g0qVLFc4ibNq0KV566SWMHDkSZ8+edeSnDJS8ggCD68qwf15eeeUVWK1WHDx4EIIgYOTIkWjZsiVmzJiBefPmITg4GMOHD0ezZs0gkUjw+eefQyqVBszqL6yniul0OgwbNgyhoaEIDw/HwIEDceTIEfz444/Yu3cvZs+ejd69e2P27NmYN28eoqKiHBkLAOD999/H5cuXER8fL+JRUE1g0FhFJ0+exD//+U+MHj0aI0aMKHfW5fTp02G1WrFv3z5IpVKcPHkScrkcCxcuhF6vd8zcDAoKcsze9KdAiPXkPpPJhODgYKhUKgAoMymwzWZD165d0apVK5w+fRo9evQQo6iiYnDtHpvNhqCgIBQWFiI4OBhTpkwBABw8eBAAMGbMGPTv3x8WiwULFy7EiRMnEB0djdDQUPzwww/44IMPAmJ5N9ZTxXQ6HZ555hnEx8dj2rRpaNiwIYCiHp/ffvsN7733HmbNmgW5XI4XXngBFosF8+bNwyuvvILw8HCoVCocOXIEGzduLHMZQfItDBqroKCgABs3bsQzzzyDUaNGQRAEx52qyWRCfn4+jh49CplMhsTERLz22msICQnBm2++CZvNhjvuuAOhoaHYtWsXZDKZ47X+lu6D9eQee3DYvHlz3LhxA19++SWefvrpMif42I9dr9f7Vdd8ZTC4Ll9BQQG+++47tGjRAnFxcZBKpQgODnZsnzJlCgRBwPfffw+JRILRo0dj0KBBiI+Px8cffwytVovo6Gh89NFHft11z3pyj06nw1NPPYUOHTpg8eLFju8fe4B97733YsqUKbBYLJgxYwZatmyJ/v37o1WrVtixYwdu3LiBxo0bIzk5GU2bNhX5aKgmMGisgoKCAqSlpWH48OEAbt2pZmRk4L333sO+fftw7do1AEC7du3wxhtvYNGiRXjuuedQUFAAtVqNe++9F1Kp1JHY2h+xntxjD3hatmyJevXqYdeuXWjXrp2jy6t4UCQIAq5cuYKYmBh06dJFtDKLgcF1xcxmM4YMGYLff/8dcrkcHTt2RP369fHII4+gbdu2jm75qVOnIiQkBF988QVsNhtGjhyJe++9F61atYJCoXBK1OyPWE/uMZvN+Oc//wmtVos333wTwK1gsXiAHRcXh+HDhyMtLQ0bN27EzJkzcc8996B169aQyWQBmf/Un/nnVbiWWa1WGAwGpKWl4YUXXkBOTg5OnDiBuXPnIj8/H507d8YzzzyDmzdv4u2338brr7+Od999FwkJCU7vY7PZ/DYQAlhPlVW/fn2kpKRg/PjxePvttzF+/HjExcU5BUUSiQQ7duzAzZs30aRJExFL63kMritmNBrRpEkT3LhxAwqFAgkJCfjuu+/w+uuvQ6vVonXr1mjbti06d+6MYcOGIT8/H6dPn8Z7772HkSNHOtKf+PsFnvXkHvta7adOncKUKVOwePFiBAcHlxksd+jQAffeey9+//13x2fQvo8/pUQjBo1Volar0aVLF+zevRu//PILdDodrl69inbt2uG5557DCy+84Ng3JycHu3fvxrVr1xAVFVXmwH1/xXqqvG7dumHGjBl4/fXXkZOTg759++KJJ56AIAi4ePEidu3ahe3bt2Pbtm2Ijo4Wu7iiYHBdtnr16uGVV17B6tWrkZaWBovFgg8//BB6vR5fffUV0tPTsW/fPvz3v/+FQqFAgwYNcPLkSfz6668ICQlBUlISpFKp31/kWU/uCQsLw//93/+hTp062LlzJ1599VW8+eabCAoKcgoczWYz5HI5unbtirS0NEcuRnv9+Hs9BRouI1hF2dnZ2Lp1K1JTU2Gz2fD444+jR48ejgu5vTt18eLFOHXqFDZu3BiQHx7WU9UcOHAAs2bNciTLlUqliIyMhNlsxvz589GyZUuxiyi67du34/XXX0fHjh0rDK4Dra6uXr2KtWvX4vDhw3j88ccxceJExzaTyQStVosvv/wSGo0Gn3/+OSQSCdauXRtwY85YT+7Jy8vD6tWr8cknn+Dhhx92dFWXbHGcP38+jh07hh07dvh1t32gY9BYDfY7LJ1Oh9DQUMfz9g/TjRs3MGnSJLRp0waTJ08WsaTiYj1VTU5ODlJTU5GWlgYAuP/++9G8eXPUr19f5JJ5DwbXZbt27RrWrFmDn3/+GY888giSk5MBlL7QazQayGQyv8tE4C7Wk3vKCxztYxwLCgowZcoUxMXF4ZVXXoFEIuHNv59i0FgD7K1lxcdU5efnIzk5GRqNBjt27Ci1PRCxnqg2MLguW3kBkT9PKqsK1pN7ygscAWD58uXYuXMnNm/eHDDDQQIVg8Ya9MUXX8BgMCA/Px+HDh3C9evX8dFHH5U7eDhQsZ7cV3JyB4NpqozyAiLOaHXGenJPWYHju+++i7fffhsffvghWrduLXYRqZYxaKwhly9fxtNPPw2r1YpWrVqhVatWmDFjBmQyGe9Yi2E9UW1gcF0+e0D0yy+/4P7778f06dPFLpJXYj25xx44/uc//4FSqcT169exbds2rvYSIHiFriFxcXH46quvYDQaER4e7hj7YrVaGQgVw3qi2lBy5jTdUr9+fYwZMwZ6vR6pqanIy8tzpI2hW1hP7omIiMDYsWNhMBhw7NgxfPzxxwE7djgQsaWxFrHFwz2sJ6Lap9FoIAgCoqKixC6KV2M9uScvLw82m431FGAYNBIRERGRSxzhS0REREQuMWgkIiIiIpcYNBIRERGRSwwaiYiIiMglBo1ERERE5BKDRiIiIiJyiUEjEREREbnEoJGIiIiIXGLQSEREREQuMWgkIiIiIpcYNBIRERGRS/8PXwIyHK5axDsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = idf.iloc[50:120]\n",
    "mpf.plot(df,type='candle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "pchange = (df['Close'] / df['Close'][0] - 1.0)*100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2011-09-13    0.000000\n",
       "2011-09-14    1.384411\n",
       "2011-09-15    3.134026\n",
       "2011-09-16    3.210463\n",
       "2011-09-19    2.182776\n",
       "                ...   \n",
       "2011-12-14    3.397316\n",
       "2011-12-15    3.771023\n",
       "2011-12-16    3.269915\n",
       "2011-12-19    2.165792\n",
       "2011-12-20    5.257348\n",
       "Name: Close, Length: 70, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pchange"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ap = mpf.make_addplot(pchange)\n",
    "mpf.plot(df,addplot=ap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-9-a6774c8535dd>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-9-a6774c8535dd>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    STOP HERE\u001b[0m\n\u001b[0m         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "STOP HERE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
